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  Breast Cancer

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Articles published in Eur Radiol

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Single Articles

    September 2020
  1. MENG N, Wang X, Sun J, Han D, et al
    A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer.
    Eur Radiol. 2020 Sep 4. pii: 10.1007/s00330-020-07169.
    PubMed     Abstract available

    August 2020
  2. GAO Y, Luo Y, Zhao C, Xiao M, et al
    Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients.
    Eur Radiol. 2020 Aug 26. pii: 10.1007/s00330-020-07181.
    PubMed     Abstract available

    July 2020
  3. CARMONA-BOZO JC, Manavaki R, Woitek R, Torheim T, et al
    Hypoxia and perfusion in breast cancer: simultaneous assessment using PET/MR imaging.
    Eur Radiol. 2020 Jul 28. pii: 10.1007/s00330-020-07067.
    PubMed     Abstract available

    June 2020
  4. MAO N, Yin P, Li Q, Wang Q, et al
    Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study.
    Eur Radiol. 2020 Jun 30. pii: 10.1007/s00330-020-07016.
    PubMed     Abstract available

    May 2020
  5. WANG J, Phi XA, Greuter MJW, Daszczuk AM, et al
    The cost-effectiveness of digital breast tomosynthesis in a population breast cancer screening program.
    Eur Radiol. 2020 May 7. pii: 10.1007/s00330-020-06812.
    PubMed     Abstract available

  6. ABDOLELL M, Payne JI, Caines J, Tsuruda K, et al
    Assessing breast cancer risk within the general screening population: developing a breast cancer risk model to identify higher risk women at mammographic screening.
    Eur Radiol. 2020 May 1. pii: 10.1007/s00330-020-06901.
    PubMed     Abstract available

    March 2020
  7. ROSSI F, Torri L, Lambertini M, De Giorgis S, et al
    Muscle mass loss after neoadjuvant chemotherapy in breast cancer: estimation on breast magnetic resonance imaging using pectoralis muscle area.
    Eur Radiol. 2020 Mar 31. pii: 10.1007/s00330-020-06799.
    PubMed     Abstract available

  8. SAMIEI S, Smidt ML, Vanwetswinkel S, Engelen SME, et al
    Diagnostic performance of standard breast MRI compared to dedicated axillary MRI for assessment of node-negative and node-positive breast cancer.
    Eur Radiol. 2020 Mar 27. pii: 10.1007/s00330-020-06760.
    PubMed     Abstract available

  9. QI Y, Cui X, Han M, Li R, et al
    Radiomics analysis of lung CT image for the early detection of metastases in patients with breast cancer: preliminary findings from a retrospective cohort study.
    Eur Radiol. 2020 Mar 12. pii: 10.1007/s00330-020-06745.
    PubMed     Abstract available

    February 2020
  10. ZHU Y, Zhang Y, Ma Y, Li H, et al
    Correction to: Cone-beam breast CT features associated with HER2/neu overexpression in patients with primary breast cancer.
    Eur Radiol. 2020 Feb 17. pii: 10.1007/s00330-020-06673.
    PubMed     Abstract available

  11. HARADA TL, Uematsu T, Nakashima K, Sugino T, et al
    Is the presence of edema and necrosis on T2WI pretreatment breast MRI the key to predict pCR of triple negative breast cancer?
    Eur Radiol. 2020 Feb 15. pii: 10.1007/s00330-020-06662.
    PubMed     Abstract available

  12. MOON JI, Choi BH, Baek HJ, Ryu KH, et al
    Comprehensive analyses with radiological and biological markers of breast cancer on contrast-enhanced chest CT: a single center experience using dual-layer spectral detector CT.
    Eur Radiol. 2020 Feb 5. pii: 10.1007/s00330-019-06615.
    PubMed     Abstract available

  13. NISSAN N, Allweis T, Menes T, Brodsky A, et al
    Breast MRI during lactation: effects on tumor conspicuity using dynamic contrast-enhanced (DCE) in comparison with diffusion tensor imaging (DTI) parametric maps.
    Eur Radiol. 2020;30:767-777.
    PubMed     Abstract available

  14. ONISHI N, Sadinski M, Gibbs P, Gallagher KM, et al
    Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.
    Eur Radiol. 2020;30:756-766.
    PubMed     Abstract available

    January 2020
  15. LEE SE, Lee JH, Han K, Kim EK, et al
    BI-RADS category 3, 4, and 5 lesions identified at preoperative breast MRI in patients with breast cancer: implications for management.
    Eur Radiol. 2020 Jan 31. pii: 10.1007/s00330-019-06620.
    PubMed     Abstract available

  16. ZHU Y, Zhang Y, Ma Y, Li H, et al
    Cone-beam breast CT features associated with HER2/neu overexpression in patients with primary breast cancer.
    Eur Radiol. 2020 Jan 3. pii: 10.1007/s00330-019-06587.
    PubMed     Abstract available

  17. ALABOUSI M, Zha N, Salameh JP, Samoilov L, et al
    Digital breast tomosynthesis for breast cancer detection: a diagnostic test accuracy systematic review and meta-analysis.
    Eur Radiol. 2020 Jan 3. pii: 10.1007/s00330-019-06549.
    PubMed     Abstract available

    December 2019
  18. CELEBI F, Agacayak F, Ozturk A, Ilgun S, et al
    Usefulness of imaging findings in predicting tumor-infiltrating lymphocytes in patients with breast cancer.
    Eur Radiol. 2019 Dec 10. pii: 10.1007/s00330-019-06516.
    PubMed     Abstract available

  19. EUN NL, Son EJ, Gweon HM, Kim JA, et al
    Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patients.
    Eur Radiol. 2019 Dec 4. pii: 10.1007/s00330-019-06539.
    PubMed     Abstract available

    November 2019
  20. HU Z, Cheng X, Li J, Jiang J, et al
    Preliminary study of real-time three-dimensional contrast-enhanced ultrasound of sentinel lymph nodes in breast cancer.
    Eur Radiol. 2019 Nov 27. pii: 10.1007/s00330-019-06494.
    PubMed     Abstract available

  21. BAE SJ, Youk JH, Yoon CI, Park S, et al
    A nomogram constructed using intraoperative ex vivo shear-wave elastography precisely predicts metastasis of sentinel lymph nodes in breast cancer.
    Eur Radiol. 2019 Nov 6. pii: 10.1007/s00330-019-06473.
    PubMed     Abstract available

    September 2019
  22. RODRIGUEZ-RUIZ A, Lang K, Gubern-Merida A, Teuwen J, et al
    Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.
    Eur Radiol. 2019;29:4825-4832.
    PubMed     Abstract available

    August 2019
  23. KIM JY, Kim JJ, Hwangbo L, Lee JW, et al
    Diffusion-weighted MRI of estrogen receptor-positive, HER2-negative, node-negative breast cancer: association between intratumoral heterogeneity and recurrence risk.
    Eur Radiol. 2019 Aug 5. pii: 10.1007/s00330-019-06383.
    PubMed     Abstract available

    July 2019
  24. KETTUNEN T, Okuma H, Auvinen P, Sudah M, et al
    Peritumoral ADC values in breast cancer: region of interest selection, associations with hyaluronan intensity, and prognostic significance.
    Eur Radiol. 2019 Jul 29. pii: 10.1007/s00330-019-06361.
    PubMed     Abstract available

  25. BLANKS RG, Given-Wilson RM, Cohen SL, Patnick J, et al
    Correction to: An analysis of 11.3 million screening tests examining the association between recall and cancer detection rates in the English NHS breast cancer screening programme.
    Eur Radiol. 2019 Jul 5. pii: 10.1007/s00330-019-06307.
    PubMed     Abstract available

  26. IOTTI V, Giorgi Rossi P, Nitrosi A, Ravaioli S, et al
    Comparing two visualization protocols for tomosynthesis in screening: specificity and sensitivity of slabs versus planes plus slabs.
    Eur Radiol. 2019;29:3802-3811.
    PubMed     Abstract available

  27. BALLEYGUIER C, Arfi-Rouche J, Boyer B, Gauthier E, et al
    A new automated method to evaluate 2D mammographic breast density according to BI-RADS(R) Atlas Fifth Edition recommendations.
    Eur Radiol. 2019;29:3830-3838.
    PubMed     Abstract available

    June 2019
  28. KOH J, Park AY, Ko KH, Jung HK, et al
    Can enhancement types on preoperative MRI reflect prognostic factors and surgical outcomes in invasive breast cancer?
    Eur Radiol. 2019 Jun 11. pii: 10.1007/s00330-019-06236.
    PubMed     Abstract available

    May 2019
  29. HELLGREN RJ, Sundbom AE, Czene K, Izhaky D, et al
    Does three-dimensional functional infrared imaging improve breast cancer detection based on digital mammography in women with dense breasts?
    Eur Radiol. 2019 May 21. pii: 10.1007/s00330-019-06248.
    PubMed     Abstract available

  30. JEUKENS CRLPN, van Dijk T, Berben C, Wildberger JE, et al
    Evaluation of pressure-controlled mammography compression paddles with respect to force-controlled compression paddles in clinical practice.
    Eur Radiol. 2019;29:2545-2552.
    PubMed     Abstract available

  31. HA SM, Chae EY, Cha JH, Kim HH, et al
    Long-term survival outcomes in invasive lobular carcinoma patients with and without preoperative MR imaging: a matched cohort study.
    Eur Radiol. 2019;29:2526-2534.
    PubMed     Abstract available

  32. CHAE EY, Kim HH, Jeong JW, Chae SH, et al
    Decrease in interpretation time for both novice and experienced readers using a concurrent computer-aided detection system for digital breast tomosynthesis.
    Eur Radiol. 2019;29:2518-2525.
    PubMed     Abstract available

    March 2019
  33. UHLIG J, Uhlig A, Biggemann L, Fischer U, et al
    Diagnostic accuracy of cone-beam breast computed tomography: a systematic review and diagnostic meta-analysis.
    Eur Radiol. 2019;29:1194-1202.
    PubMed     Abstract available

  34. AASE HS, Holen AS, Pedersen K, Houssami N, et al
    A randomized controlled trial of digital breast tomosynthesis versus digital mammography in population-based screening in Bergen: interim analysis of performance indicators from the To-Be trial.
    Eur Radiol. 2019;29:1175-1186.
    PubMed     Abstract available

  35. GOTO M, Sakai K, Yokota H, Kiba M, et al
    Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.
    Eur Radiol. 2019;29:1164-1174.
    PubMed     Abstract available

    February 2019
  36. VREEMANN S, Dalmis MU, Bult P, Karssemeijer N, et al
    Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program : A retrospective cohort study.
    Eur Radiol. 2019 Feb 22. pii: 10.1007/s00330-019-06020.
    PubMed     Abstract available

  37. BLANKS RG, Given-Wilson RM, Cohen SL, Patnick J, et al
    An analysis of 11.3 million screening tests examining the association between recall and cancer detection rates in the English NHS breast cancer screening programme.
    Eur Radiol. 2019 Feb 4. pii: 10.1007/s00330-018-5957.
    PubMed     Abstract available

    January 2019
  38. HAN L, Zhu Y, Liu Z, Yu T, et al
    Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.
    Eur Radiol. 2019 Jan 30. pii: 10.1007/s00330-018-5981.
    PubMed     Abstract available

  39. FAN M, Zhang P, Wang Y, Peng W, et al
    Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer.
    Eur Radiol. 2019 Jan 7. pii: 10.1007/s00330-018-5891.
    PubMed     Abstract available

    November 2018
  40. XIE T, Zhao Q, Fu C, Bai Q, et al
    Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.
    Eur Radiol. 2018 Nov 6. pii: 10.1007/s00330-018-5804.
    PubMed     Abstract available

  41. WARD L, Heller S, Hudson S, Wilkinson L, et al
    Parenchymal pattern in women with dense breasts. Variation with age and impact on screening outcomes: observations from a UK screening programme.
    Eur Radiol. 2018;28:4717-4724.
    PubMed     Abstract available

    October 2018
  42. LAMEIJER JRC, Coolen AM, Voogd AC, Strobbe LJ, et al
    Frequency and characteristics of contralateral breast abnormalities following recall at screening mammography.
    Eur Radiol. 2018;28:4205-4214.
    PubMed     Abstract available

    September 2018
  43. BOTSIKAS D, Bagetakos I, Picarra M, Da Cunha Afonso Barisits AC, et al
    What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M- staging of breast cancer?
    Eur Radiol. 2018 Sep 28. pii: 10.1007/s00330-018-5720.
    PubMed     Abstract available

  44. TARON J, Fleischer S, Preibsch H, Nikolaou K, et al
    Background parenchymal enhancement in pregnancy-associated breast cancer: a hindrance to diagnosis?
    Eur Radiol. 2018 Sep 18. pii: 10.1007/s00330-018-5721.
    PubMed     Abstract available

  45. BOSS A
    Editorial comment: cone-beam and phase contrast CT: new horizons in breast imaging?
    Eur Radiol. 2018;28:3729-3730.
    PubMed     Abstract available

  46. WIENBECK S, Fischer U, Luftner-Nagel S, Lotz J, et al
    Contrast-enhanced cone-beam breast-CT (CBBCT): clinical performance compared to mammography and MRI.
    Eur Radiol. 2018;28:3731-3741.
    PubMed     Abstract available

    August 2018
  47. JOUKAINEN S, Masarwah A, Kononen M, Husso M, et al
    Feasibility of mapping breast cancer with supine breast MRI in patients scheduled for oncoplastic surgery.
    Eur Radiol. 2018 Aug 17. pii: 10.1007/s00330-018-5681.
    PubMed     Abstract available

  48. SUO S, Zhang D, Cheng F, Cao M, et al
    Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.
    Eur Radiol. 2018 Aug 16. pii: 10.1007/s00330-018-5667.
    PubMed     Abstract available

  49. ROSSI F, Valdora F, Barabino E, Calabrese M, et al
    Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI.
    Eur Radiol. 2018 Aug 7. pii: 10.1007/s00330-018-5663.
    PubMed     Abstract available

    July 2018
  50. VAN ZELST JCM, Tan T, Clauser P, Domingo A, et al
    Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.
    Eur Radiol. 2018;28:2996-3006.
    PubMed     Abstract available

    June 2018
  51. MATHIEU MC, Toullec A, Benoit C, Berry R, et al
    Preclinical ex vivo evaluation of the diagnostic performance of a new device for in situ label-free fluorescence spectral analysis of breast masses.
    Eur Radiol. 2018;28:2507-2515.
    PubMed     Abstract available

  52. SCHAEFGEN B, Heil J, Barr RG, Radicke M, et al
    Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis.
    Eur Radiol. 2018;28:2499-2506.
    PubMed     Abstract available

  53. HU Y, Yang Y, Gu R, Jin L, et al
    Does patient age affect the PPV3 of ACR BI-RADS Ultrasound categories 4 and 5 in the diagnostic setting?
    Eur Radiol. 2018;28:2492-2498.
    PubMed     Abstract available

  54. ROMERO MARTIN S, Raya Povedano JL, Cara Garcia M, Santos Romero AL, et al
    Prospective study aiming to compare 2D mammography and tomosynthesis + synthesized mammography in terms of cancer detection and recall. From double reading of 2D mammography to single reading of tomosynthesis.
    Eur Radiol. 2018;28:2484-2491.
    PubMed     Abstract available

    May 2018
  55. MALL S, Noakes J, Kossoff M, Lee W, et al
    Can digital breast tomosynthesis perform better than standard digital mammography work-up in breast cancer assessment clinic?
    Eur Radiol. 2018 May 30. pii: 10.1007/s00330-018-5473.
    PubMed     Abstract available

  56. CHEN BB, Lu YS, Yu CW, Lin CH, et al
    Imaging biomarkers from multiparametric magnetic resonance imaging are associated with survival outcomes in patients with brain metastases from breast cancer.
    Eur Radiol. 2018 May 16. pii: 10.1007/s00330-018-5448.
    PubMed     Abstract available

  57. VAN DER VELDEN BHM, Sutton EJ, Carbonaro LA, Pijnappel RM, et al
    Contralateral parenchymal enhancement on dynamic contrast-enhanced MRI reproduces as a biomarker of survival in ER-positive/HER2-negative breast cancer patients.
    Eur Radiol. 2018 May 7. pii: 10.1007/s00330-018-5470.
    PubMed     Abstract available

  58. WATANABE G, Itoh M, Duan X, Watabe H, et al
    (18)F-fluorodeoxyglucose specimen-positron emission mammography delineates tumour extension in breast-conserving surgery: Preliminary results.
    Eur Radiol. 2018;28:1929-1937.
    PubMed     Abstract available

    April 2018
  59. KIM JY, Kim JJ, Kim S, Choo KS, et al
    Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.
    Eur Radiol. 2018 Apr 30. pii: 10.1007/s00330-018-5429.
    PubMed     Abstract available

  60. KIM WH, Cho N, Kim YS, Yi A, et al
    Mammographic density changes following discontinuation of tamoxifen in premenopausal women with oestrogen receptor-positive breast cancer.
    Eur Radiol. 2018 Apr 6. pii: 10.1007/s00330-017-5293.
    PubMed     Abstract available

    March 2018
  61. SANABRIA SJ, Goksel O, Martini K, Forte S, et al
    Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?
    Eur Radiol. 2018 Mar 19. pii: 10.1007/s00330-017-5287.
    PubMed     Abstract available

  62. KIM SY, Shin J, Kim DH, Kim EK, et al
    Correlation between electrical conductivity and apparent diffusion coefficient in breast cancer: effect of necrosis on magnetic resonance imaging.
    Eur Radiol. 2018 Mar 6. pii: 10.1007/s00330-017-5291.
    PubMed     Abstract available

    January 2018
  63. KIM SY, Cho N, Shin SU, Lee HB, et al
    Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour.
    Eur Radiol. 2018 Jan 29. pii: 10.1007/s00330-017-5251.
    PubMed     Abstract available

  64. LI X, Gao H, Chen Z, Zhang L, et al
    Diagnosis of breast cancer based on microcalcifications using grating-based phase contrast CT.
    Eur Radiol. 2018 Jan 26. pii: 10.1007/s00330-017-5158.
    PubMed     Abstract available

  65. HORVAT JV, Durando M, Milans S, Patil S, et al
    Apparent diffusion coefficient mapping using diffusion-weighted MRI: impact of background parenchymal enhancement, amount of fibroglandular tissue and menopausal status on breast cancer diagnosis.
    Eur Radiol. 2018 Jan 12. pii: 10.1007/s00330-017-5202.
    PubMed     Abstract available

    December 2017
  66. RODRIGUEZ-RUIZ A, Gubern-Merida A, Imhof-Tas M, Lardenoije S, et al
    One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?
    Eur Radiol. 2017 Dec 11. pii: 10.1007/s00330-017-5167.
    PubMed     Abstract available

    November 2017
  67. MOSHINA N, Roman M, Waade GG, Sebuodegard S, et al
    Breast compression parameters and mammographic density in the Norwegian Breast Cancer Screening Programme.
    Eur Radiol. 2017 Nov 2. doi: 10.1007/s00330-017-5104.
    PubMed     Abstract available

    October 2017
  68. ZHAO J, Zhang J, Zhu QL, Jiang YX, et al
    The value of contrast-enhanced ultrasound for sentinel lymph node identification and characterisation in pre-operative breast cancer patients: A prospective study.
    Eur Radiol. 2017 Oct 20. doi: 10.1007/s00330-017-5089.
    PubMed     Abstract available

  69. GIROMETTI R, Zanotel M, Londero V, Linda A, et al
    Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging.
    Eur Radiol. 2017 Oct 10. doi: 10.1007/s00330-017-5074.
    PubMed     Abstract available

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